Loading...
Please wait, while we are loading the content...
Similar Documents
Re-examining informative prior elicitation through the lens of MCMC
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hahn, Eugene D. |
| Copyright Year | 2005 |
| Abstract | In recent years, advances in Markov chain Monte Carlo (MCMC) techniques have had a major impact on the practice of Bayesian statistics. An interesting but hitherto largely underexplored corollary of this fact is that MCMC techniques make it practical to consider broader classes of informative priors than have been used previously. Conjugate priors, long the workhorse of classic methods for eliciting informative priors, have their roots in a time when modern computational methods were unavailable. In the current environment more attractive alternatives are practicable. A re-appraisal of these classic approaches is undertaken, and principles for generating modern elicitation methods are described. A new prior elicitation methodology in accord with these principles is then presented. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://faculty.salisbury.edu/~edhahn/lensmcmc.pdf |
| Alternate Webpage(s) | http://faculty.salisbury.edu/~edhahn/IntgConvergence.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
